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:: The focus of the Students division is to serve and support the academic and non-academic growth and development of students. Our strength is in our approaches to peer-to-peer learning and student
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
using computer software will support the Department’s growing efforts to collect, analyze and present data designed to improve the efficiency and transparency of both its processes and decision making
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AI. Students will apply these insights in class, participate in an innovation lab case and explore the foundational elements of Machine Learning (ML) in healthcare including how to critically appraise
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program evaluation. Competence with various computer applications and technologies for teaching & learning When applying, please upload a cover letter and CV/resume and mapping of your experiences
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: Reporting to the Associate Director, Administration, the Faculty Development Division Director and the Project Lead for Blended Learning Activities, the incumbent will support the administrative functions
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on the Posting End Date. Job End Date At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty
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Engineering, Electrical or Computer Engineering (with a research focus in Software), or an equivalent field or be within a year of completion. The candidate must have a demonstrated record of research
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Engineering | Faculty of Applied Science Compensation Range $4,449.00 - $4,676.00 CAD Monthly Posting End Date July 2, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End
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special projects as required Communicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning
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project on convergence analysis of reinforcement learning algorithms for partially observed environments. The position is at the intersection of machine learning, stochastic analysis, and dynamical systems